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20242026
most citedEmulator-Based Inference of Cosmological Subgrid Models

1 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

astro-ph.CO2026

Optimization of Weak Lensing Lightcone Simulations for Higher-Order Statistics in the LSST era

J. Mena-Fernández, C. Doux, J. Harnois-Déraps +9

We present a framework for generating lightcone simulations tailored to the analysis of Stage-IV cosmic shear data using Higher-Order Statistics (HOS). We revisit key design choice…

astro-ph.CO2026

Point Correlation Functions in Galaxy Surveys: Impact of Baryonic Feedback

Avijit Bera, Joachim Harnois-Déraps, Juan Mena-Fernández +5

We investigate the impact of baryonic feedback on two-point and three-point correlation functions (2PCFs and 3PCFs hereafter, respectively) involving galaxy density fields (g) and…

cs.LG2026

Preserving Clusters in Error-Bounded Lossy Compression of Scientific Particle Data

Congrong Ren, Sheng Di, Katrin Heitmann +2

Scientific particle simulations in cosmology, molecular dynamics, and fluid dynamics produce large-scale datasets whose storage, movement, and analysis increasingly rely on lossy c…

astro-ph.GA2026★ 1 cited

Emulator-Based Inference of Cosmological Subgrid Models

Nesar Ramachandra, Nicholas Frontiere, Michael Buehlmann +4

The formation of structure in the Universe at large scales is dominated by gravity, with baryonic physics becoming significant at scales. To capture the impact of b…

astro-ph.CO2025★ 1 cited

Modeling Galaxy Formation in Cosmological Simulations with CRK-HACC

Nicholas Frontiere, J. D. Emberson, Michael Buehlmann +4

Self-consistently modeling baryonic effects in survey-scale cosmological simulations has become increasingly important as the diversity, precision, and statistical reach of modern…

cs.DC2025

Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability

Nicholas Frontiere, J. D. Emberson, Michael Buehlmann +10

Resolving the most fundamental questions in cosmology requires simulations that match the scale, fidelity, and physical complexity demanded by next-generation sky surveys. To achie…

stat.AP2025

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra

Stephen A. Walsh, Annie S. Booth, David Higdon +3

Understanding the structure of our universe and the distribution of matter is an area of active research. As cosmological surveys grow in complexity, the development of emulators t…

astro-ph.CO2025

Illuminating the Physics of Dark Energy with the Discovery Simulations

Gillian D. Beltz-Mohrmann, Adrian Pope, Alex Alarcon +10

In this paper, we present the Discovery simulations: a new pair of high-resolution N-body simulations motivated by the DESI Y1 BAO cosmological constraints on dark energy. The Disc…

astro-ph.CO2024

Exploring the Core-galaxy Connection

Isabele Souza Vitório, Michael Buehlmann, Eve Kovacs +3

Halo core tracking is a novel concept designed to efficiently follow halo substructure in large simulations. We have recently developed this concept in gravity-only simulations to…